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�������պ����ѧѧ�� 2005, Vol. 31 Issue (11) :1198-1203    DOI:
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Multiple faults diagnosis approach for nonlinear system
Song Hua, Zhang Hongyue, Wang Xingren*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� A new method for multiple faults diagnosis of nonlinear systems based on fuzzy parity equation was presented. This approach can be used to detect and identify the fault models when there are several kinds fault such as actuator fault and sensor fault simultaneously in the system. Fully decoupled parity equation for multiple faults was constructed, and fuzzy parity equation was obtained by using the T-S fuzzy model. Residual generated by the fuzzy parity equation is sensitive to one special actuator fault and all sensor faults except one special sensor, and insensitive to other actuators and the special sensor. The faults in sensors and actuators were represented as biases. The fault parameter can be identified from the information contained in the residuals. A parameter estimator based on recursive least square was designed. A simulation example on an induction motor of a railway traction system was given for illustration. Results show that the new approach can be used to detect and identify the faults of multiple sensors and multiple actuators in nonlinear systems.
Keywords�� fault diagnosis   fuzzy sets   least square approximations   nonlinear systems   multiple faults   parity equation     
Received 2004-08-23;
Fund:

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About author: �� ��(1968-),��,����������,��ʿ��, songhua7421@sohu.com.
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�λ�, �ź���, ������.������ϵͳ�������Ϸ���[J]  �������պ����ѧѧ��, 2005,V31(11): 1198-1203
Song Hua, Zhang Hongyue, Wang Xingren.Multiple faults diagnosis approach for nonlinear system[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2005,V31(11): 1198-1203
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